Determinants of Student Achievement

Determinants of Student Achievement PDF Author: Julian R. Betts
Publisher: Public Policy Instit. of CA
ISBN: 9781582130446
Category : Education
Languages : en
Pages : 139

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Determinants of Student Achievement

Determinants of Student Achievement PDF Author: Julian R. Betts
Publisher: Public Policy Instit. of CA
ISBN: 9781582130446
Category : Education
Languages : en
Pages : 139

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Book Description


The Factors Effecting Student Achievement

The Factors Effecting Student Achievement PDF Author: Engin Karadağ
Publisher: Springer
ISBN: 3319560832
Category : Education
Languages : en
Pages : 333

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Book Description
This book focuses on the effect of psychological, social and demographic variables on student achievement and summarizes the current research findings in the field. It addresses the need for inclusive and interpretive studies in the field in order to interpret student achievement literature and suggests new pathways for further studies. Appropriately, a meta-analysis approach is used by the contributors to show the big picture to the researchers by analyzing and combining the findings from different independent studies. In particular, the authors compile various studies examining the relationship between student achievement and 21 psychological, social and demographic variables separately. The philosophy behind this book is to direct future research and practices rather than addressing the limits of current studies.

Cognitive Activation in the Mathematics Classroom and Professional Competence of Teachers

Cognitive Activation in the Mathematics Classroom and Professional Competence of Teachers PDF Author: Mareike Kunter
Publisher: Springer Science & Business Media
ISBN: 1461451493
Category : Education
Languages : en
Pages : 375

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Book Description
This work reports the findings of the Professional Competence of Teachers, Cognitively Activating Instruction, and Development of Students ́ Mathematical Literacy project (COACTIV). COACTIV applies a broad, innovative conceptualization of teacher competence to examine how mathematics teachers’ knowledge, beliefs, motivational orientations, and self-regulation skills influence their instructional practice and teaching outcomes In this project data was collected on various aspects of teacher competence and classroom instruction from the perspective of both the teachers themselves and their students. Moreover, it gauges the effects of these teacher characteristics on student learning, as indexed by the progress students in each class. Questions addressed in the study which are reported in this volume include: What are the characteristics of successful teaching? What distinguishes teachers who succeed in their profession? How can the quality of instruction be improved?

The determinants of student achievement in the United States

The determinants of student achievement in the United States PDF Author: Karen Blinder Akerhielm
Publisher:
ISBN:
Category :
Languages : en
Pages : 281

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The Determinants of Student Achievement in Italy

The Determinants of Student Achievement in Italy PDF Author: Ugo Trivellato
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 140

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Factors contributing to academic performance of students in a Junior High School

Factors contributing to academic performance of students in a Junior High School PDF Author: Anthony Abaidoo
Publisher: GRIN Verlag
ISBN: 3668841063
Category : Education
Languages : en
Pages : 99

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Book Description
Bachelor Thesis from the year 2018 in the subject Pedagogy - School System, Educational and School Politics, grade: 5 (GHA-System), University of Education (Distance Learning), course: Post Graduate Diploma in Education, language: English, abstract: Students’ academic performance is a key feature in education. This study was therefore conducted primarily to assess the factors contributing to improvement in academic performance of Junior High Students (JHS) in a Basic School which is in the Gomo-East District in the Central Region of Ghana. The mixed and descriptive research design was used and a sample size of 87 respondents (79 students and 8 teachers) were selected through random sampling technique. The findings revealed that the average academic performance (47.0%) of the JHS students in the Basic School is weak and their performance in Mathematics (average score of 31.48%) and English Language (average score of 39.99%) is a fail. It was noticed that student factors that contribute to an improvement in academic performance include; regular studying, self-motivation, punctuality and regular class attendance, hard-work and interest in a subject. The teacher factors were completion of syllabus, use of TLM’s, frequent feedback to students and given students special attention. Per the findings, parent factors which was very key was parent showing concern in their children’s academics and providing them their academic needs. School factors that were significant included availability of text books and TLM’s. The study also found that parent level of education and gender has a positive relationship with academic performance but it’s insignificant. However, age has a positive significant (5% significance level) relationship with academic performance. Based on findings, the study recommends that there should be strict monitoring on teachers to vary their teaching methods to suit their needs of the students and also to provide the students with constant feedback on their academic performance. Again, the students should be motivated and orientated to take ownership of their studies by having regular studies and attending school during school days.

Teaching to Close the Achievement Gap for Students of Color

Teaching to Close the Achievement Gap for Students of Color PDF Author: Theodore S. Ransaw
Publisher: Routledge
ISBN: 9780367555238
Category :
Languages : en
Pages : 206

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Book Description
This volume highlights approaches to closing the achievement gap for students of color across K-12 and post-secondary schooling. It uniquely examines factors outside the classroom to consider how these influence student identity and academic performance. Teaching to Close the Achievement Gap for Students of Color offers wide-ranging chapters that explore non-curricular issues including trauma, family background, restorative justice, refugee experiences, and sport as determinants of student and teacher experiences in the classroom. Through rigorous empirical and theoretical engagement, chapters identify culturally responsive strategies for supporting students as they navigate formal and informal educational opportunities and overcome intersectional barriers to success. In particular, chapters highlight how these approaches can be nurtured through teacher education, effective educational leadership, and engagement across the wider community. This insightful collection will be of interest to researchers, scholars, and post-graduate students in the fields of teacher education, sociology of education, and educational leadership.

Determinants of Academic Achievement

Determinants of Academic Achievement PDF Author: Joyette Fabien
Publisher: GRIN Verlag
ISBN: 3668289352
Category : Social Science
Languages : en
Pages : 37

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Book Description
Seminar paper from the year 1991 in the subject Sociology - Work, Education, Organisation, grade: A, University of the West Indies (School of Education), course: Sociology of Education, language: English, abstract: ‘The Determinants of Academic Achievement’ have been the subject of much discussion in the past and up to recent times. Extensive studies have been done and diverse conclusions have been reached. Earlier research was centered on developed countries, but recent times have seen an emphasis on developing countries and this has given rise to much controversy over the extent to which school and non-school factors influence academic achievement and the educational benefits of increasing expenditure on policy controlled schooling variables. The observation has been made by Simmons and Alexander (1980) that home background or parental socio-economic status generally has a stronger influence on student performance at primary and lower secondary grades than the policy-controlled schooling variables. Their conclusions were drawn, in part, from a review of a number of studies conducted by the International Association for the Evaluation of Educational Achievement (IEA) in developed countries. Using the education production function (EPF) approach, Simmons and Alexander sought to equate the relative cost of school inputs to the relative value of outputs. Their conclusions have been variously supported, challenged or contradicted by previous and subsequent research carried out in the Third World. The purpose of this study is to examine the validity of Simmons’ and Alexander’s conclusions through a comparative analysis of a sample of students from the 1990 Common Entrance Examination (CEE) intake of students of the Portsmouth Secondary School (P.S.S) in Dominica.

Essays on the Determinants of School Quality and Student Achievement

Essays on the Determinants of School Quality and Student Achievement PDF Author: Vasudha Rangaprasad
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 0

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Book Description
My dissertation examines the determinants of school quality and its impact on student achievement. The first essay studies the impact of class size on student achievement. The impact of class size on student achievement remains an open question despite hundreds of empirical studies and the perception amongst parents, teachers, and policymakers that larger classes are a significant detriment to student development. This essay attempts to shed new light on this ambiguity by explicitly recognizing the distributed nature of educational outcomes. This paper utilizes recently developed nonparametric tests for stochastic dominance to uniformly rank entire distributions of test scores. Moreover, by using bootstrap techniques, we are able to report the results of the dominance tests to a degree of statistical certainty. This type of analysis is very useful for policy decisions as it lends itself to broad-based, consensus ranking of outcomes. Using data from the National Education Longitudinal Study of 1988, we estimate the effects of eighth and tenth grade class size on the unconditional and conditional distributions of contemporaneous test scores, subsequent test scores, and test score gains. The results are quite surprising. First, after controlling for a host of determinants of student achievement, we find compelling evidence suggesting that students benefit from relatively large classes. Second, we document several instances where the relationship between student achievement and class size is non-monotonic. Finally, these conclusions are unaltered when we allow for heterogeneous effects of class size by student race or subject matter. In my second essay, I address questions regarding school competition using a spatial autoregressive model. Education reforms involving expanded school choice are receiving increased attention. Many view the heightened competition that would presumably result from such reforms as a panacea for the ills currently plaguing the US public education system. However, the present system is not devoid of competition even absent such reforms; public schools compete for students through the Tiebout (1956) process. Thus, this essay seeks to answer two questions: (i) Does competition alter the behavior of public school districts? and (ii) Do public school districts compete with neighboring public school districts? To answer such questions, we utilize panel data from Illinois over the period 1990-2000 and estimate a multi-dimensional mixed regressive, spatial autoregressive model via instrumental variables, thereby eliminating the possibility of confounding strategic competition with spatial error correlation. The data come from two sources: the Common Core of Data and the Census of Population and Housing. We find robust evidence that public school districts incorporate the educational input decisions of other public school districts in the same county into their decision calculus, thereby acting strategically when setting own input levels. Thus, reforms leading to expansion of school choice would not introduce competition into the US school system, but rather would at best accentuate the level of competition. The third essay examines the impact of peer group effects on student achievement. The current empirical evidence on the magnitude of these effects is, however, inconclusive. Using data from the National Education Longitudinal Study of 1988, I assess the impact of peer group influences on the test scores of tenth grade students using school-by-subject specific fixed effects models, as well as a Generalized Methods of Moments approach (via instrumental variables) to account for potential endogeneity of the peer group formation. The results are striking. In particular, I fail to uncover widespread evidence in favor of positive peer group effects. The OLS estimations yield strong and positive effects of peer group achievement on test score gains. When I account for potential endogeneity of peer group formation via instrumental variables and fixed effects these effects disappear. In addition, the dispersion of peer group achievement has no systematic influence on achievement growth. Moreover, I find no evidence supporting the hypothesis that peer effects have differential impacts in schools in which tracking is present. The only exception to the above findings is in models that control for both peer effects and tracking, and allow the effect of each to differ according to student ability. In this case, while the impact of tracking is not found to be substantially different in tracked versus nontracked schools, the results are consistent with a nonuniform effect of tracking on achievement across students of different abilities. Finally, these fundamental conclusions are not substantially altered when I allow for changes in the definitions of peer group effect and tracking.

Essays on the Determinants of Student Choices and Educational Outcomes

Essays on the Determinants of Student Choices and Educational Outcomes PDF Author: Justin A. Wong
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 121

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Book Description
This dissertation is composed of three essays. Essay 1, "Does School Start Too Early For Student Learning?", considers the connection between school start time and student performance. Biological evidence indicates that adolescents' internal clocks are designed to make them fall asleep and wake up at later times than adults. This science has prompted widespread debate about delaying school start times in the U.S., a country which has some of the earliest start times worldwide. The debate suffers, however, from a glaring absence of evidence: the small number of prior studies has been too low powered statistically to test whether later start times improve achievement. I fill the gap by studying achievement across a large, nationally representative set of high schools that have varying start times. I identify the positive effect of later clock start times, as well as the independent effect of greater daylight at school start time. My primary empirical method is cross-sectional regression with rich controls for potentially confounding variables. The findings are confirmed by regression discontinuity analysis focused on schools close to time zone boundaries. I quantify the net gain in welfare from having an additional hour of sunlight before school starts by comparing the substantial lifetime earnings benefits for students against the likely the societal costs. Essay 2, "Student Success and Teaching Assistant Effectiveness In Large Classes", considers the impact teaching assistants (TAs) have on student performance. In universities, TAs play a crucial role by providing small group instruction in lecture courses with large enrollment. The multiplicity of TAs creates both positive opportunities and negative incentives. On the one hand, some TAs may excel at tasks--such as helping struggling students--at which other TAs fail. If so, all students may be able to learn better if they can match themselves to the TA that best suits their needs. On the other hand, the multiplicity of TAs means that students in the same class often receive instruction that varies in quality even though they are ultimately graded on the same standard. In this paper, we use data from a large lecture course in which students are conditionally randomly assigned to TAs. In addition to administrative data on scores and grades, we use survey data (which we generated) on students' initial preparation, their study habits, and their interactions with TAs. We identify the existence of variation among TAs in teaching effectiveness. We also identify how TAs vary in their effectiveness with certain subpopulations of students: the least and best prepared, students with different backgrounds, and so on. Using our parameter estimates, we simulate student achievement under scenarios such as random assignment to TAs, elimination/retraining of the least effective TAs, and matching of TAs to students based on initial information to show the potential gains in student welfare from more efficient matching. Essay 3, "A Study of Student Majors: A Historical Perspective", considers whether differing financial returns across degrees are a significant factor in a student's choice of a major. During the late 1990s, the U.S. experienced a technology boom that significantly increased the initial salary offers to engineering students, and computer science students in particular. These dramatic increases in returns provide an excellent opportunity to examine not only how students respond to salary levels, but also to salary trends. The existing literature has focused on the extent to which differing financial returns can affect a student's choice of undergraduate major. This paper extends the analysis to test if trends in salary levels also affect the share of students selecting into various majors using a comprehensive dataset of all post-secondary institutions. I find that students select into majors that offer higher salaries and have greater wage growth. Using a flexible empirical model that allows students to respond to both changes in salary levels and growth, I find that the results hold across majors and within engineering disciplines. These results help to explain why, for instance, the percentage of students choosing to major in computer science grew more rapidly than could be explained by salary level alone.